Phebe Vayanos

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 48

Top Venues

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. AAAI (2024)
Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. AAAI (2023)
Bill Tang, Çagil Koçyigit, Eric Rice, Phebe Vayanos
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment. CoRR (2023)
Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription. CoRR (2023)
Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos
Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy. AIES (2023)
Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos
Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. EAAMO (2023)
Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie
Learning Fair Policies for Multi-stage Selection Problems from Observational Data. CoRR (2023)
Nathan Justin, Sina Aghaei, Andrés Gómez, Phebe Vayanos
Learning Optimal Classification Trees Robust to Distribution Shifts. CoRR (2023)
Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos
Deploying a Robust Active Preference Elicitation Algorithm: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. CoRR (2023)
Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos
Learning Optimal Fair Classification Trees. CoRR (2022)
Phebe Vayanos, Qing Jin, George Elissaios
ROC++: Robust Optimization in C++. INFORMS J. Comput. 34 (6) (2022)
Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, Eric Rice
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery. CoRR (2022)
Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. CoRR (2022)
Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, Eric Rice
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery. FAccT (2022)
Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe
Fair Influence Maximization: a Welfare Optimization Approach. AAAI (2021)
Nathanael Jo, Sina Aghaei, Andrés Gómez, Phebe Vayanos
Learning Optimal Prescriptive Trees from Observational Data. CoRR (2021)
Sina Aghaei, Andrés Gómez, Phebe Vayanos
Strong Optimal Classification Trees. CoRR (2021)
Phebe Vayanos, Duncan C. McElfresh, Yingxiao Ye, John Paul Dickerson, Eric Rice
Active Preference Elicitation via Adjustable Robust Optimization. CoRR (2020)
Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Eric Rice, Milind Tambe
Fair Influence Maximization: A Welfare Optimization Approach. CoRR (2020)
Omkar Thakoor, Shahin Jabbari, Palvi Aggarwal, Cleotilde Gonzalez, Milind Tambe, Phebe Vayanos
Exploiting Bounded Rationality in Risk-Based Cyber Camouflage Games. GameSec (2020)
Sina Aghaei, Andrés Gómez, Phebe Vayanos
Learning Optimal Classification Trees: Strong Max-Flow Formulations. CoRR (2020)
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe
Exploring Algorithmic Fairness in Robust Graph Covering Problems. CoRR (2020)
Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. AAAI (2019)
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe
Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks. AAMAS (2019)
Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). CoRR (2019)
Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. ECML/PKDD (1) (2019)
Naveena Karusala, Jennifer Wilson, Phebe Vayanos, Eric Rice
Street-Level Realities of Data Practices in Homeless Services Provision. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld, Fei Fang
Cyber Camouflage Games for Strategic Deception. GameSec (2019)
Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. CoRR (2019)
Sarah Cooney, Phebe Vayanos, Thanh Hong Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe
Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. AAMAS (2019)
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe
Exploring Algorithmic Fairness in Robust Graph Covering Problems. NeurIPS (2019)
Chaithanya Bandi, Nikolaos Trichakis, Phebe Vayanos
Robust Multiclass Queuing Theory for Wait Time Estimation in Resource Allocation Systems. Manag. Sci. 65 (1) (2019)
Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld
General-Sum Cyber Deception Games under Partial Attacker Valuation Information. AAMAS (2019)
Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe
The Price of Usability: Designing Operationalizable Strategies for Security Games. IJCAI (2018)
Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe
Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources. CPAIOR (2018)
Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe
Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. AIES (2018)
Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker
Influence Maximization for Social Network Based Substance Abuse Prevention. AAAI (2018)
Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu
Partially Generative Neural Networks for Gang Crime Classification with Partial Information. AIES (2018)
Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton
From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth. ECML/PKDD (3) (2018)
Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Sarah Cooney, Phebe Vayanos, Milind Tambe
Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games. CogSci (2018)
Aida Rahmattalabi, Phebe Vayanos, Milind Tambe
A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games. GameSec (2018)
Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik
Deceiving Cyber Adversaries: A Game Theoretic Approach. AAMAS (2018)
Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. AAAI (2018)
Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An
Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. AAMAS (2018)
Han-Ching Ou, Milind Tambe, Bistra Dilkina, Phebe Vayanos
Imbalanced Collusive Security Games. GameSec (2018)
Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton
Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth. AAAI Fall Symposia (2017)
Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha
Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI (2017)
Sara Marie McCarthy, Phebe Vayanos, Milind Tambe
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources. IJCAI (2017)
Phebe Vayanos, Daniel Kuhn, Berç Rustem
A constraint sampling approach for multi-stage robust optimization. Autom. 48 (3) (2012)
Phebe Vayanos, Daniel Kuhn, Berç Rustem
Decision rules for information discovery in multi-stage stochastic programming. CDC/ECC (2011)
Beth Jelfs, Soroush Javidi, Phebe Vayanos, Danilo P. Mandic
Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing. J. Signal Process. Syst. 61 (1) (2010)
Danilo P. Mandic, Phebe Vayanos, Soroush Javidi, Beth Jelfs, Kazuyuki Aihara
Online tracking of the degree of nonlinearity within complex signals. ICASSP (2008)
Danilo P. Mandic, Phebe Vayanos, Mo Chen, Su Lee Goh
Online Detection of the Modality of Complex-Valued Real World Signals. Int. J. Neural Syst. 18 (2) (2008)
Danilo P. Mandic, Phebe Vayanos, Christos Boukis, Beth Jelfs, Su Lee Goh, Temujin Gautama, Tomasz M. Rutkowski
Collaborative Adaptive Learning using Hybrid Filters. ICASSP (3) (2007)
Phebe Vayanos, Mo Chen, Beth Jelfs, Danilo P. Mandic
Exploiting Nonlinearity in Adaptive Signal Processing. NOLISP (2007)
Beth Jelfs, Phebe Vayanos, Mo Chen, Su Lee Goh, Christos Boukis, Temujin Gautama, Tomasz M. Rutkowski, Tony Kuh, Danilo P. Mandic
An Online Method for Detecting Nonlinearity Within a Signal. KES (3) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Phebe Vayanos